Why this workflow gets stuck
Knowledge is scattered across documents, CRM, emails, forms and internal tools. Teams rely on manual searching and inconsistent answers.
Solutions
Build an internal AI agent connected to your tools
Deploy an internal AI agent to help teams answer, search, summarize and trigger supervised workflows.
Operational use cases
- Search internal or commercial knowledge bases.
- Summarize customer requests, tickets, emails or forms.
- Draft answers with sources and explicit limits.
- Trigger supervised actions in existing tools.
Deliverables
- Source and access-rights map.
- RAG or connected-agent prototype on a limited scope.
- Testing interface with logs, feedback and corrections.
- Operating runbook and human escalation rules.
Typical integrations
NotionGoogle DriveCRMHelpdeskInternal APIs
Supervision
- Sourced answers when the knowledge base supports them.
- Refusal or escalation when information is missing.
- No irreversible action without explicit approval.
Method
- List high-frequency questions and actions.
- Clean the corpus and define access levels.
- Test the agent on real cases before wider rollout.
- Measure adoption, errors, escalations and time saved.
Related services
AI agents & chatbots
Create AI assistants connected to your data, documents and workflows.
Custom business tools
Dashboards, portals, planning tools, recruitment flows, support tools and reporting systems.
AI training & adoption
Train teams, document workflows and deploy AI usage with practical guardrails.
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Frequently asked questions
Does an AI agent replace the team?
No. It reduces repetitive searching and helps prepare controlled answers.
Can it use internal documents?
Yes, once access rights, formats and confidentiality rules are framed.
How do we limit mistakes?
With a clear knowledge scope, testing, logs and escalation rules.